L2M Validate / Qc Winter 2026 / Smart Parking

Finding available parking in busy urban areas remains a persistent challenge for Canadian drivers, particularly in metropolitan centres such as Montréal, Toronto, and Vancouver. Drivers regularly lose valuable time circling streets in search of parking before medical appointments, business meetings, events, and exams, to name a few. This inefficiency contributes to increased stress levels, financial penalties from contravention tickets, higher fuel consumption, and unnecessary traffic congestion. More critically, the Insurance Institute for Highway Safety reports that 1 in 5 car accidents occur in parking lots, emphasizing that this issue is not only inconvenient but also a public safety concern. Despite numerous deployed parking applications on the market, most solutions provide only static information and merely assist users in interpreting complex municipal parking signs, leaving the burden of finding an available spot to the driver. There is a clear gap for a smarter, real-time, and more proactive solution.

The partner organization seeks to innovate in this space by building Smart Parking, an intelligent decision platform that automates the parking discovery process by guiding drivers to find, in real time, an available parking spot, rather than merely displaying regulations. The system will display live availability on an interactive city map, guide users to open parking spaces, and provide directions for any post-parking actions to help drivers avoid tickets. It also helps reduce driving time and urban congestion and improves road safety through optimized parking flow. This approach shifts the responsibility from the driver to the platform, offering a tangible and daily benefit to both citizens and municipalities.

The innovation lies in developing an intelligent assistant under the umbrella of the Smart City project while ensuring privacy preservation and full compliance with Canadian security standards.

Faculty Supervisor:

Chamseddine Talhi

Student:

Partner:

V1 Studio

Discipline:

Computer science

Sector:

Education

University:

École de technologie supérieure

Program: